May 21, 2020 · A first difference is that multinomial distribution $\mathcal {M} (N, \mathbf {p})$ is discrete (it generalises binomial disrtibution) whereas Dirichlet distribution is continuous (it …

Aug 17, 2012 · You can approximate it with the multivariate normal distribution in the same way that binomial distribution is approximated by univariate normal distribution. Check Elements of …

In LDA topic model algorithm, I saw this assumption. But I don't know why chose Dirichlet distribution? I don't know if we can use Uniform distribution over Multinomial as a pair?

Aug 31, 2013 · For the multinomial distribution to apply, that process has to be analogous to picking slips of paper--one per student--out of a well-mixed bowl of a great many such slips.

Jan 30, 2025 · Sampling from a multinomial distribution with K categories by sampling K independent uniform distributions and sorting Ask Question Asked 10 months ago Modified 4 …

Aug 7, 2022 · The are many variants of the bootstrap and, on the surface, the nonparametric or re-sampling bootstrap has a similarity to drawing from a multinomial distribution.

Aug 10, 2014 · I'm an absolute beginner in statistics. Please excuse any wrong assumptions or missing information in my question. I have a question that relates to a multinomial distribution …

Dec 12, 2024 · However, a multinomial distribution has a singular covariance matrix, so the determinant gives minimal information about variability in the multinomial distribution; every …

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Oct 15, 2015 · For an example where the data-dependent term is not omitted, see "Example 2.4 The multinomial distribution" in the Statistical Modelling by Exponential Families book by …